Naïma Moustaïd‐Moussa
- Physiology top 0.5%
- Epidemiology top 1%
- Molecular Biology top 5%
- Nutrition and Dietetics top 0.5%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Nishan S. KalupahanaKate ClaycombeLatha RamalingamShu WangNalin SiriwardhanaRui SuChwan‐Li ShenMonique LeMieux
- Topics
- Adipose Tissue and Metabolism (80 papers)Adipokines, Inflammation, and Metabolic Diseases (63 papers)Fatty Acid Research and Health (35 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaCancer Research
- Partner nations
- United StatesSri LankaBrazil
In The Last Decade
Naïma Moustaïd‐Moussa
183 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Physiology 2.9k
- Epidemiology 2.1k
- Molecular Biology 2.0k
- Nutrition and Dietetics 1.4k
- Endocrinology, Diabetes and Metabolism 1.2k
Countries citing papers authored by Naïma Moustaïd‐Moussa
This map shows the geographic impact of Naïma Moustaïd‐Moussa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Naïma Moustaïd‐Moussa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naïma Moustaïd‐Moussa more than expected).
Fields of papers citing papers by Naïma Moustaïd‐Moussa
This network shows the impact of papers produced by Naïma Moustaïd‐Moussa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Naïma Moustaïd‐Moussa. The network helps show where Naïma Moustaïd‐Moussa may publish in the future.
Co-authorship network of co-authors of Naïma Moustaïd‐Moussa
This figure shows the co-authorship network connecting the top 25 collaborators of Naïma Moustaïd‐Moussa. A scholar is included among the top collaborators of Naïma Moustaïd‐Moussa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naïma Moustaïd‐Moussa. Naïma Moustaïd‐Moussa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | Opinion: In the wake of COVID-19, academia needs new solutions to ensure gender equity. | 18 |
| 11 | Obesity, adipocyte hypertrophy, fasting glucose, and resistin are potential contributors to nonalcoholic fatty liver disease in South Asian women | 2 |
| 12 | 92 | |
| 13 | 11 | |
| 14 | 38 | |
| 15 | 70 | |
| 16 | 8 | |
| 17 | 7 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | 69 |
About Naïma Moustaïd‐Moussa
Naïma Moustaïd‐Moussa is a scholar working on Aging, Physiology and Nutrition and Dietetics, having authored 189 papers that have together received 8.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (80 papers), Adipokines, Inflammation, and Metabolic Diseases (63 papers) and Fatty Acid Research and Health (35 papers). The work is most often cited by research in Physiology (2.9k citations), Biochemistry (641 citations) and Nutrition and Dietetics (1.4k citations). Naïma Moustaïd‐Moussa has collaborated with scholars based in United States, Sri Lanka and Brazil. Frequent co-authors include Nishan S. Kalupahana, Kate Claycombe, Latha Ramalingam, Shu Wang, Nalin Siriwardhana, Rui Su, Chwan‐Li Shen, Monique LeMieux, Huanbiao Mo and In-Sook Kwun. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cancer Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.